Estimation of Usable Area of Flat-Roof Residential Buildings Using Topographic Data with Machine Learning Methods. - Leszek Dawid; Michal Tomza; Anna Dawid (Remote. Sens., 2019)

Unsupervised machine learning of topological phase transitions from experimental data. - Niklas Käming; Anna Dawid; Korbinian Kottmann; Maciej Lewenstein; Klaus Sengstock; Alexandre Dauphin; Christof Weitenberg (Mach. Learn. Sci. Technol., 2021)

Hessian-based toolbox for reliable and interpretable machine learning in physics. - Anna Dawid; Patrick Huembeli; Michal Tomza; Maciej Lewenstein; Alexandre Dauphin (Mach. Learn. Sci. Technol., 2022)

Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning - Anna Dawid (2022)

Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence. - Anna Dawid; Yann LeCun (CoRR, 2023)

Unveiling the Hessian's Connection to the Decision Boundary. - Mahalakshmi Sabanayagam; Freya Behrens; Urte Adomaityte; Anna Dawid (CoRR, 2023)

Deconstructing the Goldilocks Zone of Neural Network Initialization. - Artem Vysogorets; Anna Dawid; Julia Kempe (ICML, 2024)

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model. - Kacper Cybinski; Marcin Plodzien; Michal Tomza; Maciej Lewenstein; Alexandre Dauphin; Anna Dawid (Mach. Learn. Sci. Technol., 2025)